fictitious play

Perturbing Best Responses in Zero-Sum Games AAAI 2026 Bounded Rationality Equilibrium Learning in Mean Field Games AAAI 2025 Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play COLT 2025 Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play NeurIPS 2024 Dueling over Dessert, Mastering the Art of Repeated Cake Cutting NeurIPS 2024 Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024 Reinforcement Nash Equilibrium Solver IJCAI 2024 Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games NeurIPS 2024 Anticipatory Fictitious Play IJCAI 2023 Entropic Fictitious Play for Mean Field Optimization Problem JMLR 2023 Exponential Lower Bounds for Fictitious Play in Potential Games NeurIPS 2023 Multi-Player Zero-Sum Markov Games with Networked Separable Interactions NeurIPS 2023 A Unified Diversity Measure for Multiagent Reinforcement Learning NeurIPS 2022 Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games ICML 2022 Generalization in Mean Field Games by Learning Master Policies AAAI 2022 NeuPL: Neural Population Learning ICLR 2022 On the Convergence of Fictitious Play: A Decomposition Approach IJCAI 2022 On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games L4DC 2022 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Learning While Playing in Mean-Field Games: Convergence and Optimality ICML 2021 Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021 Modelling Behavioural Diversity for Learning in Open-Ended Games ICML 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games NeurIPS 2021 Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions ICML 2021